autonomous-loops

You can orchestrate autonomous Claude Code loops by assembling patterns and pipelines into scalable agent-based workflows, ranging from simple sequential pipelines to large DAG-based multi-agent systems. Provide an RFC or feature spec to begin decomposing work into parallel, isolated stages.

Structuring a multi-agent DAG involves decomposing RFCs into modular patterns with separate context windows for each stage. This approach supports scalable, reliable automation and includes merge-queue landings with eviction recovery for failure management.

Yes, Claude Code supports continuous PR loops by providing specific loop patterns like the Continuous Claude PR Loop. These patterns include guidance on merge strategies and eviction context recovery to ensure reliable automated landings across software teams.

Separating context windows for each stage is achieved by decomposing workflows into modular patterns, ensuring each isolated stage operates independently. This architecture prevents context bleed and supports reliable, scalable multi-agent coordination.

Use a simple sequential pipeline for basic end-to-end automation needs, and transition to a multi-agent DAG when handling complex, RFC-driven projects requiring parallel execution and explicit dependencies. The framework provides tiered complexity to match varying automation scales.

Recover from failures in autonomous Claude Code pipelines using eviction context mechanisms provided by the loop patterns. This allows workflows to resume reliably after errors, ensuring robust merge-queue landings and continuous automation.